SportsAgent · Sports information
Ask about the matches.
Get a grounded answer.
Players scrolling through fixture lists, switching tabs for team form, jumping out to check who's injured — that's friction. SportsAgent is a conversational interface over the platform's live data: ask about upcoming matches, tournaments, team form, head-to-head history, or lineup news in plain language and get an answer drawn from the platform's own catalogue and statistics — never from model memory, never from the open internet.
Overview
SportsAgent gives a sports information platform's users a conversational interface to the catalogue. One question, one streamed answer, drawn from the platform's own data — no scrolling between fixture lists, statistics pages, and team profiles.
Capabilities
What it does
18:45 Pera
Conversational interface over live fixtures, tournaments, teams, and statistics
One question, three lookups
Chains tool calls — resolves tournaments and teams, finds fixtures, pulls stats — to compose one grounded answer
One agent, four languages
Multi-language out of one configuration — the user's UI language is passed per prompt; the assistant answers in that language
Sports Assistant is thinking
Real-time streaming — the user sees the answer arriving token by token, the modern chat-product feel, no waiting for the full response
Integration
SportsAgent lives inside the platform via a single embed — no infrastructure change. Dokko's agent layer talks to a read-only MCP server the platform stands up over its own APIs, so every factual claim is grounded in the platform's live data, never composed from model memory. Per-user context (scope, timezone) flows through opaquely so the model never sees raw identifiers.
Editorial control
The platform stays in charge of what the assistant says.
The assistant runs inside a thin platform-side proxy that brackets every conversation with the platform's own guardrails. Inputs are checked before they reach Dokko — prompt-injection patterns, off-topic content, profanity, length caps. Outputs are checked per streamed chunk, with the platform able to allow, redact, truncate, or abort. The assistant's scope is locked in plain-language agent instructions versioned in Dokko — no general sports news, no editorial guidance, no predictions or recommendations. The integration surface is designed for this: discrete prompt submission and a typed event stream give the platform clean interception points on both sides, so domain policy stays entirely in the platform's hands.
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